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Yuon Control

Yuon Control offers a predictive heating control system that employs real-time data analytics and machine learning algorithms to optimize heat distribution in heating networks. This technology minimizes energy consumption and operational costs by adjusting heating output based on actual demand patterns.

Oberá, SwitzerlandFounded 2020171K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Heating networks face challenges in managing peak loads, leading to strained capacity and reliance on costly compensation methods like oil burners. Inefficient heat distribution results in increased energy consumption, higher operational costs, and elevated CO2 emissions. Traditional heating systems lack the ability to adapt to real-time data and predict demand accurately.

Solution

Yuon Control offers a predictive heating control software that optimizes heat distribution in real-time, reducing energy consumption and operational costs. The software leverages a digital twin of the heating network, combined with real-time data such as weather patterns and solar radiation, to continuously optimize performance. By predicting and smoothing out peak loads, Yuon Control eliminates the need for costly compensation methods and simplifies network operation. The system facilitates fully automated, continuous, and intelligent operational optimization across the entire network.

Target Audience

The primary target audience includes operators of district heating networks, energy providers, and municipalities seeking to optimize their heating infrastructure and reduce energy consumption.

Features

  • Real-time intelligent continuous optimization of entire grid operation.
  • Predictive algorithms to smooth peak loads and optimize heat distribution.
  • Digital twin technology that simulates the heating network for accurate predictions.
  • Compatibility with all common heating systems for easy integration.
  • Automated data management and analysis in real-time.
  • User-friendly software interface for easy monitoring and control.
  • Reduction in energy consumption, operating costs, and CO2 emissions.
This profile is AI-generated and may contain inaccuracies.